genpark-commerce-dynamic-bundling-recommender-skill

🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation

🌟 Overview

genpark-commerce-dynamic-bundling-recommender-skill delivers robust, industrial-grade capabilities engineered for Autonomous Agentic Reasoning, Enterprise Safeguards, and Consumer Commerce Operations. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.

Autonomous Commerce Dynamic Bundling & Cross-Sell Recommender (inspired by Meta Muse, Shopify & Instacart Smart Carts). Analyzes cart items and intent, computes product complementary affinity scores, respects merchant margin constraints, and synthesizes personalized discount bundles.

💡 Key Capabilities

• Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities.

• Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and Tencent WorkBuddy runtime frameworks.

• Deterministic & Safe: Cryptographic signature validation, mathematical optimization, and robust error recovery.

• High Concurrency & Low Latency: In-memory caching, vector clock tracking, and microsecond-level execution latency.

Related MCP server: wingman

🚀 Quickstart

1. Direct Python Usage

from client import CommerceDynamicBundlingRecommender

client = CommerceDynamicBundlingRecommender()
result = client.recommend_dynamic_bundles()
print(result)

2. Standalone MCP Server Execution

Run the MCP server via standard JSON-RPC 2.0 stdio:

python mcp_server.py

Verify standard compliance and self-tests:

python mcp_server.py --test

3. Claude Desktop / Cursor MCP Configuration

Add this tool to your claude_desktop_config.json or Cursor MCP settings:

{
  "mcpServers": {
    "genpark-commerce-dynamic-bundling-recommender-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-commerce-dynamic-bundling-recommender-skill/mcp_server.py"]
    }
  }
}

🛠️ Verification & Testing

Run the included verification suite:

python example_usage.py

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.